Overview

Brought to you by YData

Dataset statistics

Number of variables20
Number of observations1824
Missing cells7514
Missing cells (%)20.6%
Duplicate rows10
Duplicate rows (%)0.5%
Total size in memory299.2 KiB
Average record size in memory168.0 B

Variable types

Numeric20

Alerts

Dataset has 10 (0.5%) duplicate rowsDuplicates
Central Atlantic (PADD 1B) is highly overall correlated with Cleveland, OH and 18 other fieldsHigh correlation
Cleveland, OH is highly overall correlated with Central Atlantic (PADD 1B) and 18 other fieldsHigh correlation
Colorado is highly overall correlated with Central Atlantic (PADD 1B) and 18 other fieldsHigh correlation
Denver, CO is highly overall correlated with Central Atlantic (PADD 1B) and 18 other fieldsHigh correlation
East Coast is highly overall correlated with Central Atlantic (PADD 1B) and 18 other fieldsHigh correlation
Florida is highly overall correlated with Central Atlantic (PADD 1B) and 18 other fieldsHigh correlation
Gulf Coast is highly overall correlated with Central Atlantic (PADD 1B) and 18 other fieldsHigh correlation
Lower Atlantic (PADD 1C) is highly overall correlated with Central Atlantic (PADD 1B) and 18 other fieldsHigh correlation
Miami, FL is highly overall correlated with Central Atlantic (PADD 1B) and 18 other fieldsHigh correlation
Midwest is highly overall correlated with Central Atlantic (PADD 1B) and 18 other fieldsHigh correlation
Minnesota is highly overall correlated with Central Atlantic (PADD 1B) and 18 other fieldsHigh correlation
New England (PADD 1A) is highly overall correlated with Central Atlantic (PADD 1B) and 18 other fieldsHigh correlation
New York is highly overall correlated with Central Atlantic (PADD 1B) and 18 other fieldsHigh correlation
Ohio is highly overall correlated with Central Atlantic (PADD 1B) and 18 other fieldsHigh correlation
Rocky Mountain is highly overall correlated with Central Atlantic (PADD 1B) and 18 other fieldsHigh correlation
Seattle, WA is highly overall correlated with Central Atlantic (PADD 1B) and 18 other fieldsHigh correlation
Texas is highly overall correlated with Central Atlantic (PADD 1B) and 18 other fieldsHigh correlation
U.S. is highly overall correlated with Central Atlantic (PADD 1B) and 18 other fieldsHigh correlation
Washington is highly overall correlated with Central Atlantic (PADD 1B) and 18 other fieldsHigh correlation
West Coast is highly overall correlated with Central Atlantic (PADD 1B) and 18 other fieldsHigh correlation
East Coast has 90 (4.9%) missing values Missing
New England (PADD 1A) has 137 (7.5%) missing values Missing
Central Atlantic (PADD 1B) has 137 (7.5%) missing values Missing
Lower Atlantic (PADD 1C) has 137 (7.5%) missing values Missing
Midwest has 90 (4.9%) missing values Missing
Gulf Coast has 90 (4.9%) missing values Missing
Rocky Mountain has 90 (4.9%) missing values Missing
West Coast has 95 (5.2%) missing values Missing
Colorado has 511 (28.0%) missing values Missing
Florida has 666 (36.5%) missing values Missing
New York has 511 (28.0%) missing values Missing
Minnesota has 511 (28.0%) missing values Missing
Ohio has 666 (36.5%) missing values Missing
Texas has 511 (28.0%) missing values Missing
Washington has 666 (36.5%) missing values Missing
Cleveland, OH has 666 (36.5%) missing values Missing
Denver, CO has 601 (32.9%) missing values Missing
Miami, FL has 667 (36.6%) missing values Missing
Seattle, WA has 666 (36.5%) missing values Missing

Reproduction

Analysis started2025-08-06 23:47:15.086153
Analysis finished2025-08-06 23:47:37.280893
Duration22.19 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

U.S.
Real number (ℝ)

High correlation 

Distinct1250
Distinct (%)68.8%
Missing6
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean2.1917063
Minimum0.885
Maximum4.844
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2025-08-06T16:47:37.739985image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.885
5-th percentile1.04385
Q11.229
median2.188
Q32.965
95-th percentile3.6512
Maximum4.844
Range3.959
Interquartile range (IQR)1.736

Descriptive statistics

Standard deviation0.92325112
Coefficient of variation (CV)0.42124765
Kurtosis-1.1580129
Mean2.1917063
Median Absolute Deviation (MAD)0.8645
Skewness0.26341693
Sum3984.522
Variance0.85239262
MonotonicityNot monotonic
2025-08-06T16:47:37.795934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.106 7
 
0.4%
1.099 7
 
0.4%
1.055 7
 
0.4%
1.092 6
 
0.3%
1.075 6
 
0.3%
1.062 6
 
0.3%
1.089 6
 
0.3%
1.058 5
 
0.3%
1.063 5
 
0.3%
2.17 5
 
0.3%
Other values (1240) 1758
96.4%
(Missing) 6
 
0.3%
ValueCountFrequency (%)
0.885 1
0.1%
0.891 1
0.1%
0.899 1
0.1%
0.9 1
0.1%
0.907 1
0.1%
0.908 1
0.1%
0.913 2
0.1%
0.914 1
0.1%
0.92 1
0.1%
0.921 2
0.1%
ValueCountFrequency (%)
4.844 1
0.1%
4.798 1
0.1%
4.71 1
0.1%
4.702 1
0.1%
4.619 1
0.1%
4.501 1
0.1%
4.439 1
0.1%
4.41 1
0.1%
4.35 1
0.1%
4.32 1
0.1%

East Coast
Real number (ℝ)

High correlation  Missing 

Distinct1243
Distinct (%)71.7%
Missing90
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean2.2443962
Minimum0.868
Maximum4.764
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2025-08-06T16:47:37.855079image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.868
5-th percentile1.02765
Q11.30175
median2.2615
Q33.00175
95-th percentile3.6694
Maximum4.764
Range3.896
Interquartile range (IQR)1.7

Descriptive statistics

Standard deviation0.92522716
Coefficient of variation (CV)0.41223879
Kurtosis-1.1860657
Mean2.2443962
Median Absolute Deviation (MAD)0.8595
Skewness0.15997719
Sum3891.783
Variance0.8560453
MonotonicityNot monotonic
2025-08-06T16:47:37.916736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.098 6
 
0.3%
1.048 6
 
0.3%
1.045 5
 
0.3%
1.057 5
 
0.3%
1.062 5
 
0.3%
3.373 5
 
0.3%
1.165 5
 
0.3%
1.047 5
 
0.3%
1.105 4
 
0.2%
0.996 4
 
0.2%
Other values (1233) 1684
92.3%
(Missing) 90
 
4.9%
ValueCountFrequency (%)
0.868 1
0.1%
0.87 1
0.1%
0.873 1
0.1%
0.877 1
0.1%
0.883 1
0.1%
0.888 1
0.1%
0.894 1
0.1%
0.897 1
0.1%
0.898 1
0.1%
0.9 2
0.1%
ValueCountFrequency (%)
4.764 1
0.1%
4.704 1
0.1%
4.622 1
0.1%
4.601 1
0.1%
4.503 1
0.1%
4.462 1
0.1%
4.436 1
0.1%
4.391 1
0.1%
4.346 1
0.1%
4.263 1
0.1%

New England (PADD 1A)
Real number (ℝ)

High correlation  Missing 

Distinct1246
Distinct (%)73.9%
Missing137
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.3591073
Minimum0.936
Maximum5.081
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2025-08-06T16:47:37.972823image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.936
5-th percentile1.072
Q11.4355
median2.357
Q33.1065
95-th percentile3.7798
Maximum5.081
Range4.145
Interquartile range (IQR)1.671

Descriptive statistics

Standard deviation0.93992914
Coefficient of variation (CV)0.39842577
Kurtosis-1.0675353
Mean2.3591073
Median Absolute Deviation (MAD)0.852
Skewness0.16787631
Sum3979.814
Variance0.88346678
MonotonicityNot monotonic
2025-08-06T16:47:38.047385image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.033 6
 
0.3%
1.108 6
 
0.3%
1.41 5
 
0.3%
1.133 5
 
0.3%
3.519 5
 
0.3%
1.036 5
 
0.3%
1.032 4
 
0.2%
1.096 4
 
0.2%
1.19 4
 
0.2%
1.161 4
 
0.2%
Other values (1236) 1639
89.9%
(Missing) 137
 
7.5%
ValueCountFrequency (%)
0.936 1
0.1%
0.943 1
0.1%
0.947 1
0.1%
0.949 1
0.1%
0.951 1
0.1%
0.959 1
0.1%
0.964 1
0.1%
0.965 1
0.1%
0.979 1
0.1%
0.98 1
0.1%
ValueCountFrequency (%)
5.081 1
0.1%
5.065 1
0.1%
4.999 1
0.1%
4.98 1
0.1%
4.894 1
0.1%
4.83 1
0.1%
4.783 1
0.1%
4.722 1
0.1%
4.701 1
0.1%
4.651 1
0.1%

Central Atlantic (PADD 1B)
Real number (ℝ)

High correlation  Missing 

Distinct1252
Distinct (%)74.2%
Missing137
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.4070664
Minimum0.913
Maximum4.977
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2025-08-06T16:47:38.112808image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.913
5-th percentile1.075
Q11.4165
median2.458
Q33.236
95-th percentile3.8304
Maximum4.977
Range4.064
Interquartile range (IQR)1.8195

Descriptive statistics

Standard deviation0.96656939
Coefficient of variation (CV)0.40155494
Kurtosis-1.1764382
Mean2.4070664
Median Absolute Deviation (MAD)0.934
Skewness0.09535065
Sum4060.721
Variance0.93425639
MonotonicityNot monotonic
2025-08-06T16:47:38.178537image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.71 5
 
0.3%
2.332 5
 
0.3%
1.312 4
 
0.2%
1.057 4
 
0.2%
2.735 4
 
0.2%
2.715 4
 
0.2%
1.063 4
 
0.2%
2.695 4
 
0.2%
1.142 4
 
0.2%
1.293 4
 
0.2%
Other values (1242) 1645
90.2%
(Missing) 137
 
7.5%
ValueCountFrequency (%)
0.913 1
0.1%
0.916 1
0.1%
0.918 1
0.1%
0.925 1
0.1%
0.929 1
0.1%
0.939 1
0.1%
0.946 1
0.1%
0.949 2
0.1%
0.954 1
0.1%
0.957 1
0.1%
ValueCountFrequency (%)
4.977 1
0.1%
4.964 1
0.1%
4.905 1
0.1%
4.852 1
0.1%
4.838 1
0.1%
4.804 1
0.1%
4.785 1
0.1%
4.742 1
0.1%
4.648 2
0.1%
4.536 1
0.1%

Lower Atlantic (PADD 1C)
Real number (ℝ)

High correlation  Missing 

Distinct1242
Distinct (%)73.6%
Missing137
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.2336094
Minimum0.853
Maximum4.691
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2025-08-06T16:47:38.242813image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.853
5-th percentile1.0023
Q11.3315
median2.238
Q32.95
95-th percentile3.6374
Maximum4.691
Range3.838
Interquartile range (IQR)1.6185

Descriptive statistics

Standard deviation0.90246414
Coefficient of variation (CV)0.40403849
Kurtosis-1.1510036
Mean2.2336094
Median Absolute Deviation (MAD)0.826
Skewness0.13374581
Sum3768.099
Variance0.81444153
MonotonicityNot monotonic
2025-08-06T16:47:38.317665image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.046 6
 
0.3%
1.05 5
 
0.3%
1.147 5
 
0.3%
0.958 5
 
0.3%
1.028 5
 
0.3%
1.003 5
 
0.3%
1.042 5
 
0.3%
3.297 4
 
0.2%
1.032 4
 
0.2%
1.145 4
 
0.2%
Other values (1232) 1639
89.9%
(Missing) 137
 
7.5%
ValueCountFrequency (%)
0.853 1
0.1%
0.855 1
0.1%
0.859 1
0.1%
0.862 1
0.1%
0.869 1
0.1%
0.872 1
0.1%
0.878 1
0.1%
0.88 2
0.1%
0.883 1
0.1%
0.884 1
0.1%
ValueCountFrequency (%)
4.691 1
0.1%
4.615 1
0.1%
4.547 1
0.1%
4.498 1
0.1%
4.386 1
0.1%
4.355 1
0.1%
4.319 1
0.1%
4.273 1
0.1%
4.25 1
0.1%
4.21 1
0.1%

Midwest
Real number (ℝ)

High correlation  Missing 

Distinct1264
Distinct (%)72.9%
Missing90
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean2.2174146
Minimum0.853
Maximum4.876
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2025-08-06T16:47:38.388420image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.853
5-th percentile1.01965
Q11.31425
median2.2095
Q32.957
95-th percentile3.677
Maximum4.876
Range4.023
Interquartile range (IQR)1.64275

Descriptive statistics

Standard deviation0.90933098
Coefficient of variation (CV)0.41008612
Kurtosis-1.1046837
Mean2.2174146
Median Absolute Deviation (MAD)0.82
Skewness0.21519847
Sum3844.997
Variance0.82688282
MonotonicityNot monotonic
2025-08-06T16:47:38.454360image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.152 5
 
0.3%
1.442 5
 
0.3%
1.082 5
 
0.3%
1.158 5
 
0.3%
1.059 5
 
0.3%
1.091 5
 
0.3%
1.025 5
 
0.3%
2.326 4
 
0.2%
1.026 4
 
0.2%
1.024 4
 
0.2%
Other values (1254) 1687
92.5%
(Missing) 90
 
4.9%
ValueCountFrequency (%)
0.853 1
0.1%
0.874 1
0.1%
0.882 1
0.1%
0.887 2
0.1%
0.89 2
0.1%
0.891 1
0.1%
0.894 1
0.1%
0.895 1
0.1%
0.896 1
0.1%
0.899 1
0.1%
ValueCountFrequency (%)
4.876 1
0.1%
4.815 1
0.1%
4.73 1
0.1%
4.725 1
0.1%
4.64 1
0.1%
4.518 1
0.1%
4.357 1
0.1%
4.342 1
0.1%
4.314 1
0.1%
4.225 1
0.1%

Gulf Coast
Real number (ℝ)

High correlation  Missing 

Distinct1235
Distinct (%)71.2%
Missing90
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean2.1336315
Minimum0.872
Maximum4.635
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2025-08-06T16:47:38.520437image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.872
5-th percentile1.02865
Q11.27775
median2.122
Q32.80575
95-th percentile3.5087
Maximum4.635
Range3.763
Interquartile range (IQR)1.528

Descriptive statistics

Standard deviation0.85432961
Coefficient of variation (CV)0.40041104
Kurtosis-1.0547432
Mean2.1336315
Median Absolute Deviation (MAD)0.7715
Skewness0.26218227
Sum3699.717
Variance0.72987908
MonotonicityNot monotonic
2025-08-06T16:47:38.579726image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.075 6
 
0.3%
1.081 6
 
0.3%
1.096 6
 
0.3%
1.06 5
 
0.3%
1.09 5
 
0.3%
1.317 5
 
0.3%
1.848 5
 
0.3%
1.054 4
 
0.2%
1.083 4
 
0.2%
1.097 4
 
0.2%
Other values (1225) 1684
92.3%
(Missing) 90
 
4.9%
ValueCountFrequency (%)
0.872 1
0.1%
0.874 1
0.1%
0.877 1
0.1%
0.884 2
0.1%
0.886 1
0.1%
0.887 2
0.1%
0.889 1
0.1%
0.891 1
0.1%
0.892 1
0.1%
0.895 1
0.1%
ValueCountFrequency (%)
4.635 1
0.1%
4.594 1
0.1%
4.528 1
0.1%
4.491 1
0.1%
4.357 1
0.1%
4.245 1
0.1%
4.221 1
0.1%
4.205 1
0.1%
4.157 1
0.1%
4.049 1
0.1%

Rocky Mountain
Real number (ℝ)

High correlation  Missing 

Distinct1239
Distinct (%)71.5%
Missing90
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean2.3081696
Minimum0.953
Maximum5.001
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2025-08-06T16:47:38.638465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.953
5-th percentile1.105
Q11.38
median2.2945
Q33.021
95-th percentile3.734
Maximum5.001
Range4.048
Interquartile range (IQR)1.641

Descriptive statistics

Standard deviation0.9246659
Coefficient of variation (CV)0.40060571
Kurtosis-1.0874687
Mean2.3081696
Median Absolute Deviation (MAD)0.8445
Skewness0.22932418
Sum4002.366
Variance0.85500703
MonotonicityNot monotonic
2025-08-06T16:47:38.702433image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.169 7
 
0.4%
1.108 5
 
0.3%
1.274 5
 
0.3%
1.12 5
 
0.3%
3.64 5
 
0.3%
1.115 4
 
0.2%
2.586 4
 
0.2%
1.134 4
 
0.2%
2.538 4
 
0.2%
1.267 4
 
0.2%
Other values (1229) 1687
92.5%
(Missing) 90
 
4.9%
ValueCountFrequency (%)
0.953 2
0.1%
0.955 1
0.1%
0.956 2
0.1%
0.958 1
0.1%
0.959 1
0.1%
0.96 1
0.1%
0.961 1
0.1%
0.962 1
0.1%
0.967 1
0.1%
0.972 1
0.1%
ValueCountFrequency (%)
5.001 1
0.1%
4.991 1
0.1%
4.984 1
0.1%
4.947 1
0.1%
4.921 1
0.1%
4.85 1
0.1%
4.711 1
0.1%
4.656 1
0.1%
4.511 1
0.1%
4.448 1
0.1%

West Coast
Real number (ℝ)

High correlation  Missing 

Distinct1269
Distinct (%)73.4%
Missing95
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean2.5361469
Minimum1.025
Maximum5.419
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2025-08-06T16:47:38.760464image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.025
5-th percentile1.1584
Q11.427
median2.568
Q33.355
95-th percentile4.1896
Maximum5.419
Range4.394
Interquartile range (IQR)1.928

Descriptive statistics

Standard deviation1.0520003
Coefficient of variation (CV)0.41480259
Kurtosis-1.0422935
Mean2.5361469
Median Absolute Deviation (MAD)1.019
Skewness0.22906966
Sum4384.998
Variance1.1067047
MonotonicityNot monotonic
2025-08-06T16:47:38.820064image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.209 5
 
0.3%
1.155 5
 
0.3%
1.225 5
 
0.3%
1.154 5
 
0.3%
3.002 5
 
0.3%
1.277 5
 
0.3%
1.279 5
 
0.3%
1.265 5
 
0.3%
1.228 4
 
0.2%
2.509 4
 
0.2%
Other values (1259) 1681
92.2%
(Missing) 95
 
5.2%
ValueCountFrequency (%)
1.025 1
0.1%
1.027 1
0.1%
1.033 1
0.1%
1.04 1
0.1%
1.049 1
0.1%
1.059 1
0.1%
1.061 1
0.1%
1.062 1
0.1%
1.07 1
0.1%
1.078 2
0.1%
ValueCountFrequency (%)
5.419 1
0.1%
5.396 1
0.1%
5.366 1
0.1%
5.324 1
0.1%
5.27 1
0.1%
5.219 1
0.1%
5.175 1
0.1%
5.132 1
0.1%
5.094 1
0.1%
5.067 1
0.1%

Colorado
Real number (ℝ)

High correlation  Missing 

Distinct1013
Distinct (%)77.2%
Missing511
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean2.6111371
Minimum1.037
Maximum4.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2025-08-06T16:47:38.888979image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.037
5-th percentile1.4376
Q12.072
median2.642
Q33.217
95-th percentile3.776
Maximum4.87
Range3.833
Interquartile range (IQR)1.145

Descriptive statistics

Standard deviation0.7548821
Coefficient of variation (CV)0.28910091
Kurtosis-0.72123925
Mean2.6111371
Median Absolute Deviation (MAD)0.572
Skewness0.059380868
Sum3428.423
Variance0.56984699
MonotonicityNot monotonic
2025-08-06T16:47:38.953990image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.553 4
 
0.2%
1.831 4
 
0.2%
2.242 4
 
0.2%
3.51 4
 
0.2%
1.658 3
 
0.2%
2.92 3
 
0.2%
1.475 3
 
0.2%
1.506 3
 
0.2%
1.534 3
 
0.2%
3.505 3
 
0.2%
Other values (1003) 1279
70.1%
(Missing) 511
 
28.0%
ValueCountFrequency (%)
1.037 1
0.1%
1.056 1
0.1%
1.061 1
0.1%
1.069 2
0.1%
1.073 1
0.1%
1.096 1
0.1%
1.097 1
0.1%
1.104 1
0.1%
1.11 1
0.1%
1.118 1
0.1%
ValueCountFrequency (%)
4.87 1
0.1%
4.868 1
0.1%
4.86 1
0.1%
4.847 1
0.1%
4.823 1
0.1%
4.737 1
0.1%
4.594 1
0.1%
4.539 1
0.1%
4.318 1
0.1%
4.201 1
0.1%

Florida
Real number (ℝ)

High correlation  Missing 

Distinct886
Distinct (%)76.5%
Missing666
Missing (%)36.5%
Infinite0
Infinite (%)0.0%
Mean2.7645268
Minimum1.439
Maximum4.852
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2025-08-06T16:47:39.017504image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.439
5-th percentile1.77695
Q12.25325
median2.7395
Q33.29425
95-th percentile3.76
Maximum4.852
Range3.413
Interquartile range (IQR)1.041

Descriptive statistics

Standard deviation0.63846706
Coefficient of variation (CV)0.23094986
Kurtosis-0.59632886
Mean2.7645268
Median Absolute Deviation (MAD)0.5145
Skewness0.14214493
Sum3201.322
Variance0.40764019
MonotonicityNot monotonic
2025-08-06T16:47:39.078312image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.228 5
 
0.3%
2.419 4
 
0.2%
3.426 4
 
0.2%
2.733 4
 
0.2%
3.361 4
 
0.2%
3.42 4
 
0.2%
2.672 4
 
0.2%
2.968 4
 
0.2%
2.256 3
 
0.2%
2.574 3
 
0.2%
Other values (876) 1119
61.3%
(Missing) 666
36.5%
ValueCountFrequency (%)
1.439 1
0.1%
1.443 1
0.1%
1.449 1
0.1%
1.454 1
0.1%
1.464 1
0.1%
1.468 2
0.1%
1.469 1
0.1%
1.472 1
0.1%
1.476 1
0.1%
1.478 1
0.1%
ValueCountFrequency (%)
4.852 1
0.1%
4.736 1
0.1%
4.724 1
0.1%
4.579 1
0.1%
4.54 1
0.1%
4.461 1
0.1%
4.444 1
0.1%
4.436 1
0.1%
4.331 1
0.1%
4.286 1
0.1%

New York
Real number (ℝ)

High correlation  Missing 

Distinct1029
Distinct (%)78.4%
Missing511
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean2.7887867
Minimum1.121
Maximum4.924
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2025-08-06T16:47:39.140398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.121
5-th percentile1.4984
Q12.232
median2.79
Q33.49
95-th percentile3.9396
Maximum4.924
Range3.803
Interquartile range (IQR)1.258

Descriptive statistics

Standard deviation0.7956043
Coefficient of variation (CV)0.28528689
Kurtosis-0.78115936
Mean2.7887867
Median Absolute Deviation (MAD)0.601
Skewness-0.014644505
Sum3661.677
Variance0.6329862
MonotonicityNot monotonic
2025-08-06T16:47:39.209520image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.668 7
 
0.4%
1.466 6
 
0.3%
2.914 5
 
0.3%
2.229 4
 
0.2%
1.602 4
 
0.2%
3.682 4
 
0.2%
2.232 4
 
0.2%
2.835 4
 
0.2%
2.522 3
 
0.2%
1.983 3
 
0.2%
Other values (1019) 1269
69.6%
(Missing) 511
28.0%
ValueCountFrequency (%)
1.121 1
0.1%
1.122 1
0.1%
1.143 1
0.1%
1.146 1
0.1%
1.158 1
0.1%
1.162 1
0.1%
1.171 1
0.1%
1.173 2
0.1%
1.175 1
0.1%
1.176 1
0.1%
ValueCountFrequency (%)
4.924 1
0.1%
4.916 1
0.1%
4.872 1
0.1%
4.855 1
0.1%
4.841 1
0.1%
4.834 1
0.1%
4.73 1
0.1%
4.727 1
0.1%
4.697 1
0.1%
4.651 1
0.1%

Minnesota
Real number (ℝ)

High correlation  Missing 

Distinct1027
Distinct (%)78.2%
Missing511
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean2.5780327
Minimum0.993
Maximum4.753
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2025-08-06T16:47:39.272258image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.993
5-th percentile1.4206
Q12.005
median2.583
Q33.157
95-th percentile3.7564
Maximum4.753
Range3.76
Interquartile range (IQR)1.152

Descriptive statistics

Standard deviation0.74510771
Coefficient of variation (CV)0.28902182
Kurtosis-0.76029145
Mean2.5780327
Median Absolute Deviation (MAD)0.576
Skewness0.070887246
Sum3384.957
Variance0.5551855
MonotonicityNot monotonic
2025-08-06T16:47:39.333156image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.98 5
 
0.3%
2.494 4
 
0.2%
3.043 4
 
0.2%
2.697 4
 
0.2%
2.153 4
 
0.2%
2.626 4
 
0.2%
1.702 3
 
0.2%
2.991 3
 
0.2%
3.28 3
 
0.2%
3.587 3
 
0.2%
Other values (1017) 1276
70.0%
(Missing) 511
28.0%
ValueCountFrequency (%)
0.993 1
0.1%
1.039 1
0.1%
1.073 1
0.1%
1.079 1
0.1%
1.084 1
0.1%
1.086 2
0.1%
1.107 1
0.1%
1.121 2
0.1%
1.122 1
0.1%
1.124 1
0.1%
ValueCountFrequency (%)
4.753 1
0.1%
4.74 1
0.1%
4.727 1
0.1%
4.695 1
0.1%
4.656 1
0.1%
4.597 1
0.1%
4.461 1
0.1%
4.335 1
0.1%
4.292 1
0.1%
4.222 1
0.1%

Ohio
Real number (ℝ)

High correlation  Missing 

Distinct932
Distinct (%)80.5%
Missing666
Missing (%)36.5%
Infinite0
Infinite (%)0.0%
Mean2.7393187
Minimum1.36
Maximum5.038
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2025-08-06T16:47:39.396482image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.36
5-th percentile1.7005
Q12.21
median2.707
Q33.26575
95-th percentile3.77615
Maximum5.038
Range3.678
Interquartile range (IQR)1.05575

Descriptive statistics

Standard deviation0.66712312
Coefficient of variation (CV)0.24353615
Kurtosis-0.56919048
Mean2.7393187
Median Absolute Deviation (MAD)0.528
Skewness0.15880431
Sum3172.131
Variance0.44505325
MonotonicityNot monotonic
2025-08-06T16:47:39.455168image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.707 4
 
0.2%
2.074 3
 
0.2%
1.912 3
 
0.2%
2.373 3
 
0.2%
1.861 3
 
0.2%
2.702 3
 
0.2%
3.538 3
 
0.2%
2.572 3
 
0.2%
2.637 3
 
0.2%
2.553 3
 
0.2%
Other values (922) 1127
61.8%
(Missing) 666
36.5%
ValueCountFrequency (%)
1.36 1
0.1%
1.365 1
0.1%
1.379 1
0.1%
1.391 2
0.1%
1.397 1
0.1%
1.413 1
0.1%
1.415 1
0.1%
1.421 1
0.1%
1.422 1
0.1%
1.423 1
0.1%
ValueCountFrequency (%)
5.038 1
0.1%
4.922 1
0.1%
4.813 1
0.1%
4.805 1
0.1%
4.677 1
0.1%
4.525 1
0.1%
4.421 1
0.1%
4.391 1
0.1%
4.344 1
0.1%
4.284 1
0.1%

Texas
Real number (ℝ)

High correlation  Missing 

Distinct1032
Distinct (%)78.6%
Missing511
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean2.4532277
Minimum1.005
Maximum4.656
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2025-08-06T16:47:39.519727image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.005
5-th percentile1.3232
Q11.901
median2.493
Q32.989
95-th percentile3.6
Maximum4.656
Range3.651
Interquartile range (IQR)1.088

Descriptive statistics

Standard deviation0.71898292
Coefficient of variation (CV)0.29307631
Kurtosis-0.70039259
Mean2.4532277
Median Absolute Deviation (MAD)0.54
Skewness0.099005837
Sum3221.088
Variance0.51693644
MonotonicityNot monotonic
2025-08-06T16:47:39.583779image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.08 5
 
0.3%
2.93 5
 
0.3%
1.393 5
 
0.3%
1.045 4
 
0.2%
2.86 4
 
0.2%
2.717 4
 
0.2%
1.816 4
 
0.2%
2.052 4
 
0.2%
2.598 4
 
0.2%
2.802 4
 
0.2%
Other values (1022) 1270
69.6%
(Missing) 511
28.0%
ValueCountFrequency (%)
1.005 1
 
0.1%
1.01 1
 
0.1%
1.023 1
 
0.1%
1.034 1
 
0.1%
1.045 4
0.2%
1.047 1
 
0.1%
1.052 1
 
0.1%
1.053 1
 
0.1%
1.055 1
 
0.1%
1.063 2
0.1%
ValueCountFrequency (%)
4.656 1
0.1%
4.627 1
0.1%
4.513 1
0.1%
4.512 1
0.1%
4.332 1
0.1%
4.248 1
0.1%
4.204 1
0.1%
4.179 1
0.1%
4.124 1
0.1%
3.986 1
0.1%

Washington
Real number (ℝ)

High correlation  Missing 

Distinct933
Distinct (%)80.6%
Missing666
Missing (%)36.5%
Infinite0
Infinite (%)0.0%
Mean3.1852081
Minimum1.502
Maximum5.416
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2025-08-06T16:47:39.642547image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.502
5-th percentile1.9269
Q12.65425
median3.0945
Q33.79675
95-th percentile4.5305
Maximum5.416
Range3.914
Interquartile range (IQR)1.1425

Descriptive statistics

Standard deviation0.78318784
Coefficient of variation (CV)0.24588278
Kurtosis-0.34441334
Mean3.1852081
Median Absolute Deviation (MAD)0.583
Skewness0.17811817
Sum3688.471
Variance0.61338319
MonotonicityNot monotonic
2025-08-06T16:47:39.704599image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.843 5
 
0.3%
2.96 5
 
0.3%
3.13 4
 
0.2%
2.915 4
 
0.2%
3.289 4
 
0.2%
3.055 4
 
0.2%
3.815 3
 
0.2%
3.076 3
 
0.2%
3.134 3
 
0.2%
3.747 3
 
0.2%
Other values (923) 1120
61.4%
(Missing) 666
36.5%
ValueCountFrequency (%)
1.502 1
0.1%
1.51 1
0.1%
1.523 1
0.1%
1.529 1
0.1%
1.539 1
0.1%
1.541 1
0.1%
1.543 1
0.1%
1.549 1
0.1%
1.573 2
0.1%
1.582 2
0.1%
ValueCountFrequency (%)
5.416 1
0.1%
5.409 1
0.1%
5.352 1
0.1%
5.322 1
0.1%
5.252 1
0.1%
5.223 1
0.1%
5.215 1
0.1%
5.171 1
0.1%
5.091 1
0.1%
5.075 1
0.1%

Cleveland, OH
Real number (ℝ)

High correlation  Missing 

Distinct914
Distinct (%)78.9%
Missing666
Missing (%)36.5%
Infinite0
Infinite (%)0.0%
Mean2.7584888
Minimum1.358
Maximum5.047
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2025-08-06T16:47:39.764129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.358
5-th percentile1.70885
Q12.22225
median2.737
Q33.2885
95-th percentile3.79175
Maximum5.047
Range3.689
Interquartile range (IQR)1.06625

Descriptive statistics

Standard deviation0.66951653
Coefficient of variation (CV)0.24271135
Kurtosis-0.5708562
Mean2.7584888
Median Absolute Deviation (MAD)0.532
Skewness0.16004495
Sum3194.33
Variance0.44825238
MonotonicityNot monotonic
2025-08-06T16:47:39.823989image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.772 4
 
0.2%
3.374 4
 
0.2%
3.073 3
 
0.2%
1.941 3
 
0.2%
3.226 3
 
0.2%
2.35 3
 
0.2%
2.499 3
 
0.2%
2.172 3
 
0.2%
1.922 3
 
0.2%
1.906 3
 
0.2%
Other values (904) 1126
61.7%
(Missing) 666
36.5%
ValueCountFrequency (%)
1.358 1
0.1%
1.372 1
0.1%
1.379 1
0.1%
1.405 1
0.1%
1.407 1
0.1%
1.414 1
0.1%
1.422 1
0.1%
1.433 1
0.1%
1.435 1
0.1%
1.448 1
0.1%
ValueCountFrequency (%)
5.047 1
0.1%
4.985 1
0.1%
4.873 1
0.1%
4.868 1
0.1%
4.689 1
0.1%
4.533 1
0.1%
4.479 1
0.1%
4.453 1
0.1%
4.343 1
0.1%
4.319 1
0.1%

Denver, CO
Real number (ℝ)

High correlation  Missing 

Distinct993
Distinct (%)81.2%
Missing601
Missing (%)32.9%
Infinite0
Infinite (%)0.0%
Mean2.561924
Minimum1.016
Maximum4.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2025-08-06T16:47:39.885884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.016
5-th percentile1.4262
Q11.9895
median2.517
Q33.1745
95-th percentile3.7699
Maximum4.84
Range3.824
Interquartile range (IQR)1.185

Descriptive statistics

Standard deviation0.76884965
Coefficient of variation (CV)0.30010635
Kurtosis-0.75660661
Mean2.561924
Median Absolute Deviation (MAD)0.597
Skewness0.17177054
Sum3133.233
Variance0.59112978
MonotonicityNot monotonic
2025-08-06T16:47:39.947979image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.153 5
 
0.3%
3.468 4
 
0.2%
2.138 4
 
0.2%
1.412 4
 
0.2%
2.462 4
 
0.2%
2.704 4
 
0.2%
2.119 3
 
0.2%
2.141 3
 
0.2%
1.48 3
 
0.2%
2.528 3
 
0.2%
Other values (983) 1186
65.0%
(Missing) 601
32.9%
ValueCountFrequency (%)
1.016 1
0.1%
1.04 1
0.1%
1.042 1
0.1%
1.045 1
0.1%
1.049 1
0.1%
1.064 1
0.1%
1.069 1
0.1%
1.074 1
0.1%
1.078 1
0.1%
1.091 1
0.1%
ValueCountFrequency (%)
4.84 1
0.1%
4.839 1
0.1%
4.829 1
0.1%
4.828 1
0.1%
4.784 1
0.1%
4.674 1
0.1%
4.6 1
0.1%
4.461 1
0.1%
4.202 1
0.1%
4.16 1
0.1%

Miami, FL
Real number (ℝ)

High correlation  Missing 

Distinct896
Distinct (%)77.4%
Missing667
Missing (%)36.6%
Infinite0
Infinite (%)0.0%
Mean2.8728418
Minimum1.502
Maximum4.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2025-08-06T16:47:40.013094image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.502
5-th percentile1.8638
Q12.392
median2.839
Q33.398
95-th percentile3.911
Maximum4.87
Range3.368
Interquartile range (IQR)1.006

Descriptive statistics

Standard deviation0.63915468
Coefficient of variation (CV)0.22248168
Kurtosis-0.51795151
Mean2.8728418
Median Absolute Deviation (MAD)0.473
Skewness0.10993986
Sum3323.878
Variance0.40851871
MonotonicityNot monotonic
2025-08-06T16:47:40.077831image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.752 4
 
0.2%
2.47 4
 
0.2%
1.981 4
 
0.2%
2.719 4
 
0.2%
2.863 4
 
0.2%
2.414 3
 
0.2%
2.083 3
 
0.2%
2.097 3
 
0.2%
2.052 3
 
0.2%
2.277 3
 
0.2%
Other values (886) 1122
61.5%
(Missing) 667
36.6%
ValueCountFrequency (%)
1.502 1
0.1%
1.51 1
0.1%
1.511 1
0.1%
1.512 1
0.1%
1.513 2
0.1%
1.514 1
0.1%
1.515 1
0.1%
1.516 1
0.1%
1.523 1
0.1%
1.525 1
0.1%
ValueCountFrequency (%)
4.87 1
0.1%
4.794 1
0.1%
4.748 1
0.1%
4.682 1
0.1%
4.556 1
0.1%
4.536 1
0.1%
4.489 1
0.1%
4.482 1
0.1%
4.42 1
0.1%
4.327 1
0.1%

Seattle, WA
Real number (ℝ)

High correlation  Missing 

Distinct956
Distinct (%)82.6%
Missing666
Missing (%)36.5%
Infinite0
Infinite (%)0.0%
Mean3.2474879
Minimum1.469
Maximum5.549
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2025-08-06T16:47:40.136839image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.469
5-th percentile1.9065
Q12.7215
median3.1385
Q33.87475
95-th percentile4.69145
Maximum5.549
Range4.08
Interquartile range (IQR)1.15325

Descriptive statistics

Standard deviation0.82460383
Coefficient of variation (CV)0.25392052
Kurtosis-0.34634171
Mean3.2474879
Median Absolute Deviation (MAD)0.5735
Skewness0.20311157
Sum3760.591
Variance0.67997148
MonotonicityNot monotonic
2025-08-06T16:47:40.202126image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.991 5
 
0.3%
2.802 4
 
0.2%
3.067 4
 
0.2%
3.061 4
 
0.2%
2.962 3
 
0.2%
3.409 3
 
0.2%
2.995 3
 
0.2%
3.098 3
 
0.2%
2.623 3
 
0.2%
3.09 3
 
0.2%
Other values (946) 1123
61.6%
(Missing) 666
36.5%
ValueCountFrequency (%)
1.469 2
0.1%
1.482 1
0.1%
1.509 1
0.1%
1.517 1
0.1%
1.522 1
0.1%
1.524 1
0.1%
1.534 2
0.1%
1.54 1
0.1%
1.549 1
0.1%
1.554 1
0.1%
ValueCountFrequency (%)
5.549 1
0.1%
5.518 1
0.1%
5.504 1
0.1%
5.461 1
0.1%
5.416 1
0.1%
5.405 1
0.1%
5.365 1
0.1%
5.308 1
0.1%
5.287 1
0.1%
5.241 1
0.1%

Interactions

2025-08-06T16:47:35.690481image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:15.498423image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:16.598035image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:17.632338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:18.675103image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:19.632149image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:20.713525image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:21.675145image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:22.760876image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:23.806898image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:24.962615image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:25.969383image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:26.975780image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:28.401847image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:29.420123image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:30.409260image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:31.423102image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:32.740522image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:33.702159image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:34.700097image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:35.739605image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:15.561691image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:16.644365image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:17.677564image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:18.724890image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:19.680627image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:20.764234image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:21.724725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:22.812869image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:23.852446image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:25.013236image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:26.023354image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:27.032260image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:28.464257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:29.468851image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:30.462572image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:31.475122image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:32.792925image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:33.771577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:34.751186image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:35.788079image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:15.608165image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:16.692003image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:17.725211image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:18.771566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:19.727234image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:20.823371image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:21.770753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:22.860269image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:23.900127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:25.061837image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:26.070607image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:27.090480image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:28.514666image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:29.520834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:30.512461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:31.527099image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:32.842753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:33.820884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:34.803770image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:35.846141image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:15.737176image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:16.736714image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:17.769502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:18.817935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:19.771714image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:20.871195image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:21.813614image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:22.910203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:23.939527image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:25.110344image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:26.120799image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:27.168241image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:28.565248image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:29.566535image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:30.567622image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:31.581103image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:32.892228image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:33.872361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:34.853943image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:35.901289image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:15.789104image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:16.868468image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:17.821192image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:18.866287image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:19.821509image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:20.920198image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:21.859745image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:22.959224image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:23.986015image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:25.162731image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:26.171887image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:27.225328image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:28.620452image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:29.615407image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:30.620561image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:31.631947image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:32.938964image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:33.920019image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:34.902514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:35.955388image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:15.836759image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:16.913724image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:17.868219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:18.916499image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:19.987481image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:20.967790image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:22.060613image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:23.010820image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:24.031465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:25.213633image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:26.224879image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:27.281821image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:28.675516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:29.669838image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:30.673846image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:31.679639image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:32.987331image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:33.969249image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:34.949997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:36.006404image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-08-06T16:47:18.627964image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:19.583539image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:20.663706image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:21.629084image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:22.713057image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:23.750920image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:24.909955image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:25.920689image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:26.926026image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:28.347063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:29.371951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:30.339030image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:31.373152image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:32.687492image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:33.648136image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:34.652530image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-06T16:47:35.642025image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-08-06T16:47:40.268021image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Central Atlantic (PADD 1B)Cleveland, OHColoradoDenver, COEast CoastFloridaGulf CoastLower Atlantic (PADD 1C)Miami, FLMidwestMinnesotaNew England (PADD 1A)New YorkOhioRocky MountainSeattle, WATexasU.S.WashingtonWest Coast
Central Atlantic (PADD 1B)1.0000.9750.9720.9750.9960.9810.9890.9930.9720.9910.9850.9970.9930.9710.9880.9350.9750.9950.9540.987
Cleveland, OH0.9751.0000.9630.9650.9850.9810.9810.9840.9730.9950.9880.9810.9760.9980.9580.8940.9790.9910.9220.936
Colorado0.9720.9631.0001.0000.9750.9580.9750.9730.9500.9800.9790.9750.9730.9600.9940.9060.9720.9820.9310.962
Denver, CO0.9750.9651.0001.0000.9770.9610.9760.9750.9520.9800.9790.9760.9740.9610.9930.9320.9750.9830.9550.973
East Coast0.9960.9850.9750.9771.0000.9970.9981.0000.9920.9960.9900.9980.9950.9830.9860.8960.9920.9990.9250.979
Florida0.9810.9810.9580.9610.9971.0000.9920.9980.9920.9880.9820.9890.9880.9790.9520.8860.9880.9930.9160.930
Gulf Coast0.9890.9810.9750.9760.9980.9921.0000.9980.9880.9960.9880.9940.9890.9810.9840.8600.9990.9970.8970.971
Lower Atlantic (PADD 1C)0.9930.9840.9730.9751.0000.9980.9981.0000.9930.9960.9890.9960.9920.9820.9840.8820.9950.9980.9140.974
Miami, FL0.9720.9730.9500.9520.9920.9920.9880.9931.0000.9830.9780.9850.9820.9720.9440.8650.9860.9860.9000.915
Midwest0.9910.9950.9800.9800.9960.9880.9960.9960.9831.0000.9970.9940.9870.9940.9880.8910.9930.9990.9230.977
Minnesota0.9850.9880.9790.9790.9900.9820.9880.9890.9780.9971.0000.9890.9860.9860.9780.9040.9870.9960.9340.961
New England (PADD 1A)0.9970.9810.9750.9760.9980.9890.9940.9960.9850.9940.9891.0000.9970.9780.9870.9040.9870.9970.9320.981
New York0.9930.9760.9730.9740.9950.9880.9890.9920.9820.9870.9860.9971.0000.9730.9740.8990.9860.9930.9270.961
Ohio0.9710.9980.9600.9610.9830.9790.9810.9820.9720.9940.9860.9780.9731.0000.9550.8880.9790.9890.9170.931
Rocky Mountain0.9880.9580.9940.9930.9860.9520.9840.9840.9440.9880.9780.9870.9740.9551.0000.9290.9660.9910.9530.988
Seattle, WA0.9350.8940.9060.9320.8960.8860.8600.8820.8650.8910.9040.9040.8990.8880.9291.0000.8500.9080.9930.987
Texas0.9750.9790.9720.9750.9920.9880.9990.9950.9860.9930.9870.9870.9860.9790.9660.8501.0000.9920.8890.935
U.S.0.9950.9910.9820.9830.9990.9930.9970.9980.9860.9990.9960.9970.9930.9890.9910.9080.9921.0000.9370.983
Washington0.9540.9220.9310.9550.9250.9160.8970.9140.9000.9230.9340.9320.9270.9170.9530.9930.8890.9371.0000.996
West Coast0.9870.9360.9620.9730.9790.9300.9710.9740.9150.9770.9610.9810.9610.9310.9880.9870.9350.9830.9961.000

Missing values

2025-08-06T16:47:36.762004image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-08-06T16:47:36.853489image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-08-06T16:47:37.093207image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

U.S.East CoastNew England (PADD 1A)Central Atlantic (PADD 1B)Lower Atlantic (PADD 1C)MidwestGulf CoastRocky MountainWest CoastColoradoFloridaNew YorkMinnesotaOhioTexasWashingtonCleveland, OHDenver, COMiami, FLSeattle, WA
Date
1990-08-201.191NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1990-08-271.245NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1990-09-031.242NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1990-09-101.252NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1990-09-171.266NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1990-09-241.272NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1990-10-011.321NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1990-10-081.333NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1990-10-151.339NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1990-10-221.345NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
U.S.East CoastNew England (PADD 1A)Central Atlantic (PADD 1B)Lower Atlantic (PADD 1C)MidwestGulf CoastRocky MountainWest CoastColoradoFloridaNew YorkMinnesotaOhioTexasWashingtonCleveland, OHDenver, COMiami, FLSeattle, WA
Date
2025-05-263.0302.9793.0263.2222.9082.9722.7153.1403.9653.0212.9683.1073.0163.0042.7204.2463.102NaN2.9704.443
2025-06-023.0082.9703.0173.2012.9022.9172.7243.1693.9453.1153.0103.0972.9822.8792.7274.2322.989NaN3.0114.445
2025-06-092.9902.9462.9473.1672.8842.9212.6843.1313.9052.9672.9873.0922.9533.0332.6774.2003.046NaN2.9904.432
2025-06-163.0232.9672.9433.2122.8992.9662.7373.1503.9172.9552.9623.1172.9563.0662.7244.2193.081NaN2.9904.439
2025-06-233.1023.0483.0703.3102.9723.0402.8463.2073.9783.0153.0393.2023.0573.1612.8864.2903.162NaN3.0634.484
2025-06-303.0472.9823.0543.2932.8912.9972.7493.2013.9663.0742.8693.2063.0432.9902.7354.3013.010NaN2.9094.518
2025-07-073.0132.9903.0313.2642.9102.9242.6973.1723.9352.9202.9883.1892.9772.8522.6694.2742.901NaN3.0234.474
2025-07-143.0182.9543.0213.2272.8742.9752.7103.1783.9152.9202.8813.1662.9833.0512.6754.2603.023NaN2.8634.443
2025-07-213.0182.9913.1273.2062.9232.9252.7393.1863.9102.9752.9853.1672.9692.8902.7164.2602.971NaN3.0104.423
2025-07-283.0232.9863.0613.1672.9282.9642.7153.1673.8842.9733.0233.1562.9263.0942.6534.2453.096NaN3.0564.425

Duplicate rows

Most frequently occurring

U.S.East CoastNew England (PADD 1A)Central Atlantic (PADD 1B)Lower Atlantic (PADD 1C)MidwestGulf CoastRocky MountainWest CoastColoradoFloridaNew YorkMinnesotaOhioTexasWashingtonCleveland, OHDenver, COMiami, FLSeattle, WA# duplicates
9NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN6
41.091NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN5
61.104NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN3
51.099NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN3
11.014NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN2
01.013NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN2
21.026NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN2
31.089NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN2
71.124NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN2
81.339NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN2